United Kingdom
I'm a researcher and software engineer passionate about the frontier of machine learning. I started coding at age 7, which led to me becoming a senior developer at a startup at age 18. In my first 6 months of doing ML research, I submitted to NeurIPS as the second-name author along with researchers from Oxford, UC Berkeley and FAR AI. I've also done MATS, ARENA, AISC, and cofounded a small research organization. I'm currently a PhD student working on LLM robustness with a broad range of methods.
Researching how modern ML systems work under the hood in order to make them more robust. I'm supervised by Dr. Laurence Aitchison.
I am working on mechanistic interpretability of LLMs under the supervision of Dr. Conor Houghton, specifically analyzing how GPTs "understand" the difference between verbs and nouns.
Exploring circuit-style analysis with SAE features under Neel Nanda (Google DeepMind)
I co-founded and am currently co-leading a small research organization focused on addressing the hard problems in AI interpretability and control, as well as investigating opportunities for more effective AI regulation. We also help upskill promising students from the University of Bristol. We received our first grant in September 2023.
Analyzing major paradigm shifts throughout the history of AI in order to forecast how often we can expect to see them in the coming years. My research is supervised by Pablo Villalobos in a joint program with Epoch and the Forecasting Research Institute.